Nonparametric network comparison

Neyman Seminar
Aug 24, 2017 4:00pm to 5:00pm
332 Evans Hall
Happening As Scheduled
Understanding how two networks differ, or quantifying the degree to which a single network departs from a given model, is a challenging question in modern mathematical statistics. Here we show how subgraph densities, which for large graphs play a role analogous to moments in the context of random variables, enable a natural means of nonparametric network comparison. Coupled with a partial order...
Patrick Wolfe, Purdue University (Speaker)